ArticleInformation processing & management2021
A rumor reversal model of online health information during the Covid-19 epidemic.
Article in Information processing & management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A multi-modal approach for recognizing fake news and influential nodes in spreading them using deep learning and network analysis.Scientific reports · 2026Article
- Group cognitive space of online rumors in public health emergencies: a theoretical and empirical study.Frontiers in public health · 2026Article
- Impact of information dissemination and behavioural responses on epidemic dynamics: A multi-layer network analysis.Infectious Disease Modelling · 2025Article
- Dynamic Analysis of the Multi-Lingual S2IR Rumor Propagation Model Under Stochastic Disturbances.Entropy (Basel, Switzerland) · 2025Article
- An opinion evolution model for online social networks considering higher-order interactions.PloS one · 2025Article
- Comparing the Accuracy of Two Generated Large Language Models in Identifying Health-Related Rumors or Misconceptions and the Applicability in Health Science Popularization: Proof-of-Concept Study.JMIR formative research · 2024Article
- Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spread.PloS one · 2024Article
- Hot Topic Recognition of Health Rumors Based on Anti-Rumor Articles on the WeChat Official Account Platform: Topic Modeling.Journal of medical Internet research · 2023Article
- Developing an agent-based model to minimize spreading of malicious information in dynamic social networks.Computational and mathematical organization theory · 2023Article
- A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- How can the collaborative participation of regulators, whistleblowers, and parties effectively promote rumor management in public health emergencies?Frontiers in public health · 2023Article
- What Drives People to Share Misinformation on Social Media during the COVID-19 Pandemic: A Stimulus-Organism-Response Perspective.International journal of environmental research and public health · 2022Article
- Analysis of consumer product preference and news media based on data mining technology.Frontiers in psychology · 2022Article
- Interaction between official institutions and influential users of rumor control in online social networks.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of the Internet and social media has expanded the speed and scope of information dissemination, but not all widely disseminated information is true. Especially during the public health emergencies, the endogenous health information demand generated by the lack of scientific knowledge of health information among online users stimulates the dissemination of health information by mass media while providing opportunities for rumor mongers to publish and spread online rumors. Invalid scientific knowledge and rumors will have a serious negative impact and disrupt social order during epidemic outbreaks such as COVID-19. Therefore, it is extremely important to construct an effective online rumor reversal model. The purpose of this study is to build an online rumor reversal model to control the spread of online rumors and reduce their negative impact. From the perspective of internal and external factors, based on the SIR model, this study constructed a G-SCNDR online rumor reversal model by adopting scientific knowledge level theory and an external online rumor control strategy. In this study, the G-SCNDR model is simulated, and a sensitivity analysis of the important parameters of the model is performed. The reversal efficiency of the G-SCNDR model can be improved by properly adopting the isolation-conversion strategy as the external control approach to online rumors with improving the popularization rate of the level of users' scientific knowledge and accelerating the transformation efficiency of official nodes. This study can help provide a better understanding of the process of online rumor spreading and reversing, as well as offering ceritain guidance and countermeasures for online rumor control during public health emergencies.
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